YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
deep learning for image processing including classification and object-detection etc.
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集,极市团队整理
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
NVR with realtime local object detection for IP cameras
Best Practices, code samples, and documentation for Computer Vision.
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Experience, Learn and Code the latest breakthrough innovations with Microsoft AI
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
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